SEHS Topic 6: Measurement and Evaluation of Human Performance.
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Transcript of SEHS Topic 6: Measurement and Evaluation of Human Performance.
![Page 1: SEHS Topic 6: Measurement and Evaluation of Human Performance.](https://reader036.fdocuments.in/reader036/viewer/2022082516/56649cd85503460f949a108a/html5/thumbnails/1.jpg)
SEHS Topic 6: Measurement and Evaluation of Human Performance
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• Can you calculate the mean and standard deviation?(must be able to perform it on a Ti-84 or similar calculator)
• Instructions: http://www.ehow.com/how_8054806_calculate-standard-deviations-ti84s.html
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Outline what information error bars provide on a graph
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What do 1 and 2 standard deviations say about a normally distributed data set?
• Approximately 68% to 95% of the data values fall within +/- one or two standard deviations of the mean
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Explain how the standard deviation is useful
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Coefficient of Variation
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Deduce the significance of the difference between two sets of data using calculated t-test values
• When a t-test can be applied?:• Data should have a normal distribution (aka. a continuous
probability distribution )• every normal curve (regardless of its mean or standard
deviation) conforms to the following "rule".– About 68% of the area under the curve falls within 1 standard
deviation of the mean.– About 95% of the area under the curve falls within 2 standard
deviations of the mean.– About 99.7% of the area under the curve falls within 3 standard
deviations of the mean.)* Sample size of at least 10/data set*Used for two-tailed*Paired or unpaired data
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T-test Cont’dhttp://www.ats.ucla.edu/stat/mult_pkg/faq/general/tail_tests.htm
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Explain that the existence of a correlation does not establish that there is a causal relationship
between two variables
• Relationship vs cause• Specificity• There is a relationship between lung cancer and
smoking• Is smoking the cause of all lung cancers?– Strong correlation but not necessarily the cause
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Proper Study Design• When measuring an individual’s fitness levels it is
important to ensure it is done as well as possible• Main factors to take into account:– Specificity (sport specific tests….ex?)
– Accuracy(technical/instrument upkeep)
– Reliability (the degree to which a measure would produce the same result from one occasion to another) – test after skill is learned completely to avoid habituation effect
– Validity(sport specific test and repititions)
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Designing sport and exercise science experiments
• Cause and effect experimentation• Does taking 20g of creatine phosphate 30 minutes
before a resistance training workout produce significant improvement of one’s 1 rep max?
• What’s wrong with this design?• How can it be designed better?
PRE-TEST ---- TREATMENT W/ CP
------- POST-TEST
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Here’s a hint:
EXPERIMENTAL GROUP
PRE-TEST ------- ------ POST TEST
CONTROL GROUP
PRE-TEST ------- ------- POST TEST
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Made better still by adding a placebo